@odeeflymax: Yall finna be lit Halloween? 👀 @reveredarmor #fyp #streetwear #grwm #fashion #ootdinspo

Lil Thr33
Lil Thr33
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Wednesday 29 October 2025 22:30:07 GMT
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saithanhlacuabonanh
win :
first
2025-10-29 22:36:57
1
jp60802
JP :
eilte song choice
2025-10-31 23:22:11
1
mitran.wsg
￴￴ ￴ ￴ ￴ ￴￴ ￴ ￴ ￴ :
Fye🔥
2025-10-30 10:56:19
0
liamalmeida2
Liam :
Jeans code?
2025-11-04 00:00:30
0
matyasheler
mates. :
what is it height and what size of jeans please 🥺
2025-12-09 12:33:26
0
iiamkyle
iiamkyle :
🔥🔥🔥
2025-10-29 23:35:36
1
chalresxzz
🥏 :
😂😂😂
2025-10-31 07:53:39
0
ben102fly
Fuckem :
🔥🔥🔥
2025-11-05 21:32:41
0
wxyzx10
DAVE✖️✖️✖️:) :
Ow 🤴🏼‼️👅👀
2025-10-29 23:07:06
0
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Load balancer. Cache. Queue. CDN. Replica. Shard. 🧠 If those sound like a pile of random buzzwords, this one's for you. Here's the secret: nobody sits down and designs a system with 9 components. You start with ONE server, and every new piece gets added because something broke. Here's the whole thing in order 👇 1️⃣ One server can't keep up → add more servers + a load balancer 2️⃣ Every server hammers the same database → add a cache (Redis) 3️⃣ Reads keep growing → add read replicas 4️⃣ One database can't hold it all → shard the data 5️⃣ Photos and videos bloat the database → move them to object storage (S3 / R2) 6️⃣ Users far away wait forever → put a CDN in front 7️⃣ Uploads make users wait on slow jobs → add a queue + background workers 8️⃣ Servers crash, regions disappear → build in redundancy 9️⃣ You can't see what's breaking → add observability (logs, metrics, traces) And the biggest beginner mistake? Adding Kafka, Kubernetes, microservices and 10 databases before you have a real problem. Every component has a cost: • caches go stale • queues deliver twice • replicas lag • shards make queries harder • microservices fail over the network So the real skill isn't memorizing tools. It's asking one question: 👉
Load balancer. Cache. Queue. CDN. Replica. Shard. 🧠 If those sound like a pile of random buzzwords, this one's for you. Here's the secret: nobody sits down and designs a system with 9 components. You start with ONE server, and every new piece gets added because something broke. Here's the whole thing in order 👇 1️⃣ One server can't keep up → add more servers + a load balancer 2️⃣ Every server hammers the same database → add a cache (Redis) 3️⃣ Reads keep growing → add read replicas 4️⃣ One database can't hold it all → shard the data 5️⃣ Photos and videos bloat the database → move them to object storage (S3 / R2) 6️⃣ Users far away wait forever → put a CDN in front 7️⃣ Uploads make users wait on slow jobs → add a queue + background workers 8️⃣ Servers crash, regions disappear → build in redundancy 9️⃣ You can't see what's breaking → add observability (logs, metrics, traces) And the biggest beginner mistake? Adding Kafka, Kubernetes, microservices and 10 databases before you have a real problem. Every component has a cost: • caches go stale • queues deliver twice • replicas lag • shards make queries harder • microservices fail over the network So the real skill isn't memorizing tools. It's asking one question: 👉 "What problem forced us to add this?" Start simple. Find the bottleneck. Add the smallest fix. Repeat. 💾 Save this for your next system design interview 💬 Which of the 9 steps did you learn the hard way? Tell me in the comments 👇 #systemdesign #softwareengineering #backenddevelopment #codinginterview #learntocode

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